McKinsey $(2019)$ explains three types of ML $($supervised learning, unsupervised learning, reinforcement learning$).$ Which of the following is true about supervised learning? $($Select all that apply$)$

Group of answer choices

An algorithm explores input data without being given an explicit output variable.

An algorithm learns to perform a task simply by trying to maximize rewards it receives for its actions.

An algorithm uses training data and feedback from humans to learn the relationship of given inputs to a given output.

In this ML$,$ the only way to learn about the environment is to interact with it$.$

A human labels every element of the input data.